Methods of hologram construction using computer-processed objects

ABSTRACT

Computer-processed or computer-generated objects can be used to build holograms whose images are close to or straddle the hologram surface. No preliminary or first hologram is required. The hologram is built up from a number of contiguous, small, elemental pieces. Unorthodox views from inside the object are required for the creation of these elements. One method of generating the views employs unique object manipulations. The computational transformations ensure that no singularities arise and that more-or-less conventional modeling and rendering routines can be used. With a second method, a multiplicity of conventional object views are collected. Then, all pixels in these conventional viewplanes are reassigned to new and different locations in the new viewplanes for the elemental views. These methods may be used to build rainbow holograms or full parallax holograms. When properly executed they are visually indistinguishable from other types.

CROSS REFERENCE TO RELATED APPLICATIONS

This is a division of U.S. application Ser. No. 08/076,441, filed Jun. 14, 1993, now U.S. Pat. No. 5,475,511, which was a division of U.S. application Ser. No. 07/816,807, filed Jan. 3, 1992, now U.S. Pat. No. 5,237,433.

BACKGROUND OF THE INVENTION

Classical holograms are most commonly created by recording the complex diffraction pattern of laser light reflected from a physical object. These holograms can reconstruct images of sub-micron detail with superb quality. Ever since the early days of holography, there has been considerable interest in forming holograms of computer generated objects by computing and recording their diffraction patterns. These holograms are usually referred to as computer generated holograms, or CGH's. The computational task is a formidable one because of the enormity of the data required for good imagery. For example, a typical 10 centimeter by 10 centimeter hologram can resolve more than 10¹⁴ image points. Furthermore, no portion of the hologram surface pattern can be completely calculated until the diffraction transformation has been carried out on every one of these resolvable points. This necessitates the use of a rather large active memory; 10¹⁰ bytes for our hypothetical 10×10 centimeter hologram.

Even more problematic is the requirement that, for viewing over a reasonable angle, this information must be deposited into the hologram surface at a density of less than 1 pixel per micron and with about 24 bits of intensity per pixel. Many schemes have been developed for recording in a binary fashion, a process which further reduces the required pixel size.

Holograms can be composed from a multiplicity of independent object views, as was discussed in a paper by King, et al, published in Applied Optics in 1970, entitled "A New Approach to Computer-Generated Holograms."These holograms are the type discussed in this disclosure wherein they are referred to as `composite` holograms. A rather elementary but effective technique for creating composite holograms with computer generated images borrows holographic technology which was developed for other media; most notably cinematography film of physical objects. This process is discussed in a patent by K. Haines which issued in July 1982 as U.S. Pat. No. 4,339,168.

In a common embodiment of this method, many conventional views of an object are collected along a simple linear or circular trajectory. Each of these views is then processed in an optical system to build up portions of a first or storage hologram (sometimes referred to as an h1). This storage hologram bears some similarity to the drum multiplex holograms, examples of which contain fully rendered computer images.

The image from this storage hologram, as with all holographic images, is best reconstructed when the hologram is illuminated with a specific light source located at a predetermined position. Otherwise an image degradation results which is a function of the distance between the image points and the hologram surface. In order to make a hologram which is clearly discernable, even under adverse lighting conditions, one should therefore construct an image-plane hologram in which the image straddles the hologram plane.

In order to make an image-plane hologram, the image from the first hologram is used as an object which is recorded in a second hologram, which is frequently referred to as an h2. The laser light rays which constituted the object of the h1, are reconstructed (a rather unique capability of holography) by reversing the direction of the h1 reference beam. This results in the construction of a 3D image of the original object, albeit a pseudoscopic or inside-out image, in a space which is now accessible for placement of an h2. The h2 is located on a plane within the image volume.

With many image-plane holograms, the viewability is further enhanced under polychromatic (white light) illumination with the elimination of vertical parallax in the image. Vertical parallax is deleted from the h1 (and the h2 which is derived from it) when a variety of vertical views is not collected. Consequently the viewer is prohibited from seeing over or under an image. The three dimensionality is retained only in the horizontal direction. Holograms which lack vertical parallax are commonly called rainbow holograms because the viewer moving his eyes vertically perceives an image which changes colors throughout the spectrum when the hologram is illuminated with a white light source. Although rainbow holograms contain images with incomplete three dimensionality, economy is realized since the requisite computed views need not span a vertical as well as horizontal range.

The making of a hologram by the procedure just described is laborious. It requires the construction of a first hologram, an h1, which is ultimately obsolete. A direct approach was introduced in U.S. Pat. No. 4,778,262 which was granted in October 1988. That technique requires no h1 construction. Each portion of the computed data is used to create a tiny elemental image-plane hologram directly. These elements are placed side by side to form the composite hologram.

This direct method can be very difficult to implement. The common methods of computer image generation must be highly modified. Otherwise their use will yield images which are unacceptably distorted. In a related process in which normal views of an image (i.e. no image-plane views) are collected, and then recomposited to form elemental views, unorthodox processing is required.

SUMMARY OF THE INVENTION

It is an object of the present invention to provide analytical processes for the construction of a hologram from a computer generated object, the image of which is reconstructed close to or straddling the hologram surface, such processes requiring no lens or first hologram to image the object onto the hologram surface.

It is another object of the present invention to provide transformations which will allow conventional computer-generated image data to be converted into a format which is convenient for construction of a hologram whose image straddles the hologram surface without requiring construction of an intermediate hologram.

It is yet another object of the invention to provide an easy method of computing and recording on a bit-by-bit basis, computer-generated hologram elements which form components of a larger composite hologram.

These objectives and others are accomplished by the methods briefly described in the following. A portion of the object data is used to create each individual small image-plane hologram element. Prior to rendering for the view required of each element, the model is divided into two separate volumes. Each volume represents a portion of the object on either side of the hologram, or primary, plane which passes through the model. This division first requires the insertion of two new clipping planes which are placed imperceptibly close to, but on either side of the primary plane. Additionally, points must be included in these clipping planes to preserve the integrity of the model. This procedure guarantees that (a) no singularities will be present in the latter processing due to points on the primary plane, and (b) distortions in the image will not occur that would otherwise arise due to ambiguities of surfaces which pass through the primary plane. Once these procedures are carried out, transformations unique to this image-plane, direct process may be carried out. After these transformation procedures, conventional rendering methods can be employed for each of the two object volumes. A hierarchical process favors the object volume on the observer side of the hologram for the first surface calculations when the volumes are recomposited. This procedure results in images which retain both vertical and horizontal parallax.

It is often desirable to discard vertical parallax in holographic images of computed data. This presents additional problems when attempts are made to use homogeneous coordinate transformations which are common in computer graphics. Here again, unorthodox procedures are required. These involve the use of a non-homogeneous coordinate transformations and the pre-rendering insertion of a sufficiently fine mesh over the object surface.

A computationally indirect method (although still a direct or one-step hologram construction method) is disclosed in this patent. With this method the required elemental views are obtained by re-sorting the pixels contained in a series of conventionally rendered object views. This sorting transformation is described herein.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates the geometry used for calculations of the method.

FIG. 2 is a schematic perspective illustration of an example optical setup for constructing a hologram from transparencies made by techniques of FIG. 1.

FIG. 3 illustrates the geometry used for calculations of the method when vertical image parallax is not included.

FIG. 4 is a schematic perceptive illustration of an example optical setup for constructing a hologram from transparencies made by techniques of FIG. 3.

FIG. 5 illustrates the collection of conventional views of a computer generated image which are collected from viewpoints on a spherical surface.

FIG. 6 illustrates the collection of conventional views of a computer generated object which are collected from viewpoints on a planar surface.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

The process of making a hologram directly from computer-generated image data is referred to in this disclosure as a one-step procedure. In this process, small hologram elements are constructed and placed more-or-less contiguously to form a larger composite hologram. The computation of each elemental view required for each hologram element, which is the subject of this disclosure, is described with reference to FIG. 1. The x and y axes lie on the hologram surface 10. A typical hologram element 12 is shown which is located at a distance `a` in the x direction and `b` in the y direction from the center of the coordinate system in the hologram plane. The viewplane (window plane) 20, which contains the array of pixels 22, etc. for this element 12, is selected to be parallel to the hologram plane and displaced from it by a distance z_(p). Pixels, such as 22, are located on this viewplane by coordinate values x_(p), y_(p) and z_(p).

For the typical element 12, the generalized object point 32, located at position x, y, z, in object 30, results in the viewplane point 22. The matrix equation 1 describing this relationship is; ##EQU1##

These matrices are, beginning from the right, an object translation matrix, the one-point perspective transformation matrix "M" (projector from viewpoint to origin is perpendicular to the viewplane), and the perspective matrix. The perspective transformation matrix transforms an arbitrary perspective-projection view volume into a parallel-projection view volume. When used in conjunction with a normalizing matrix, which is omitted here, and with proper selection of the constants C and D, a canonical view volume results.

The views which result from this configuration are rather strange in that the inside surfaces of an opaque object are not visible while external surfaces behind the viewpoint are visible. The viewplane pixels for each viewpoint are calculated by incrementally translating (i.e. changing a and b) in the x, y, 0 plane between each view computation.

A system like that shown in FIG. 2 is used to form the contiguous image-plane hologram elements. It is similar to a system disclosed in U.S. Pat. No. 4,778,262. In the figure, the viewplane projection data for each element 12 is recorded as a transparency 40 and illuminated with a laser. Lens 41 projects the image of the transparency into plane 42, shown in FIG. 2 to be coincident with the light-concentrating lens 43. The image presented in 40 for the construction of any element, is the viewplane projection which was computed for that viewpoint. The final result is that the laser light rays passing through every part of the composite hologram 10 simulate the computed rays passing through that same element. This simple equivalence disregards any scale changes which may be required. The reference beam 18 is required for the construction of each of the hologram elements, but uniquely for these hologram elements, the required laser beam coherence length can be very short. It need not exceed the dimension of the element.

The removal of vertical parallax is often a practical necessity for improved image visibility and reduced computation. The technique used to create these elemental rainbow holograms is somewhat of a hybrid, as shown in FIGS. 3 and 4. In the horizontal direction (dealing with vertical lines only) the geometry is like that of FIG. 1. The viewpoint is located on element 14 within the object's primary plane. But, in the vertical direction the viewpoint is selected to mimic the position of the completed hologram viewer's eye, shown as 13 in FIG. 3. The combination results in hologram elements 14 which are tall and narrow and which are laid down side by side. FIG. 4 illustrates a method of hologram reconstruction. While the procedure is similar to that shown in FIG. 2, it requires that the hologram be translated in the horizontal direction only during construction.

Note that the spherical lens 43 of FIG. 2 has be replaced by the lens pair 45 and 46. Lens 45 is a spherical lens and lens 46 is a cylindrical lens. For the special case in which the hologram is meant to be viewed from relatively large distances, the spherical lens 45 essentially collimates the light which enters it from lens 41 and the film transparency 40. Thus all of the rays pass through the hologram element 14 in horizontal sheets which are parallel to each other.

In this discussion, scaling, has been disregarded since it is a function of the film size and lens magnification.

Insight into the modeling required for the geometry of FIG. 3, may be gained from the examination of a method which uses standard software routines. A taper routine is first used to compress a rectangular object volume into a wedge whose vertex runs along the x axis. The taper routine leaves object points on the z=z_(p) plane unaltered, but locates those close to the z=0 plane almost on the y=0 plane. In the next operation, the eyepoint is moved close to the origin and the appropriate perspective transformation yields the correct view data for the required elemental hologram strip. The unmodified taper routine may be used for objects confined to the z>0volume. It cannot be used for objects subtending the z=0 plane.

In order to construct the elemental views required for vertical parallax removal, the x and y coordinates are treated differently. Homogeneous coordinate system matrices, like those of equation (1), can no longer be used. The image point 23 in the viewplane 21 has coordinates x_(p), y_(p), z_(p) which are related to the x, y, z coordinates of the object point 33 in the following manner: ##EQU2##

An important and elegant aspect of the homogeneous coordinate system perspective transformation matrix "M", as used in equation (1), is that it preserves relative depth, straight lines and planes. This preservation greatly facilitates the subsequent operations. The scan-line conversion process faithfully fills in all the points interior to bounded planar primitive edges, which were originally omitted in the modeling. That is, no ambiguities in the z value exist for the interior points. Unfortunately, neither straight lines nor planes are preserved by the transformation of equation (2), nor, for that matter are they with the "taper" transformed vectors. Edges my be preserved by adding sufficient edge points prior to transformation. Even with these additions, planes are transformed into distorted surfaces whose edges no longer adequately define the location of interior points.

Unfortunately the scan-line conversion process locates these interior points on lines (usually horizontal) joining edge points. This deficiency manifests itself as incorrect first surface determinations throughout the interior of the primitives.

A corrective procedure places a sufficiently fine mesh into each pre-transformed surface. Of course, as the mesh fineness becomes greater, the process approaches that of scan converting prior to transformation, and the transformation procedure may become computationally intensive.

Additional problems arise in dealing with objects which subtend the z=0 axis. These problems cannot be disregarded with image-plane holograms of either the rainbow or full-parallax variety. In general, the procedure is computationally unorthodox because surfaces cannot be excluded even though they are behind the viewpoint. This is a departure from conventional methods because a clipping plane is usually provided which prohibits inclusion of images behind this viewpoint. Moving this clipping plane as required for the present system is not fundamentally difficult, but it is accompanied by other problems. First is the obvious one of singularities for object points in the z=0 plane. This can be handled by moving these points into a new plane which is just slightly removed from z=0. But another subtle problem remains. Polygons whose boundaries are entirely contained in that portion of the view volume beyond the viewpoint i.e. with z>0, are handled in the usual way. Similarly, polygons with all boundaries in the volume z<0 are peculiar only in that their projections are inverted. But, polygons whose edges intersect the z=0 plane, are transformed by equation (1) or (2) into figures with discontinuous edges. These discontinuities are a result of the inversion experienced by the edges in traversing the z=0 plane. Since this transformation is performed prior to scan line conversion and filling, a continuity of edges must be reestablished. A procedure which rectifies this problem requires the insertion of two more clipping planes which are placed close to, and on either side of the z=0 axis. The object is effectively divided into two portions prior to the perspective transformation. One portion is restricted to the volume z>0, and the other is restricted to the volume z<0. An absence of planes which traverse the z=0 axis is thus guaranteed.

There is another way in which the required elemental views may be generated. With this method many fully rendered conventional views of the computer generated object are collected. In FIG. 5, these views are computed for viewpoints, such as viewpoint 50, which lie on a spherical surface of radius `d` which is centered at the coordinate system origin 15 in the hologram surface 10. These conventional viewplane projections contain enough information to build the required views for the elements in the hologram plane which passes through the object. Optimum utilization of the technique requires that each of the original viewplane projection pixels, whose viewpoint orientation is designated by the angles α and φ in FIG. 5, be reassigned to elements whose location in the hologram plane 10 is given by ##EQU3## where x_(p) ', y_(p) ' is the pixel location in the original viewplane. The prime superscript has been added here to avoid confusion with the coordinates of the new elemental view projection plane. The positions of the pixels within the new elemental projection plane 20 are, ##EQU4##

This sorting operation must be carried out for all of the original viewplane projections. This analysis is applicable only to the case for which the original views are calculated from viewpoints spaced across a spherical (or cylindrical if vertical parallax is missing) surface centered on the origin.

In FIG. 6, the original views are collected from viewpoints which lie on a plane located at some distance `e` from the desired hologram plane rather than on a spherical surface located at radius `d` from point 15 within the hologram plane. In FIG. 6, the viewpoint 51 has been translated in the x and y positions by distances q and r respectively. For this geometry, the original viewplane pixel, with coordinates x_(p) ', y_(p) ', is reassigned to the element 12 whose location in the hologram plane 10 is given by ##EQU5##

The new pixel position 22 at x_(p), y_(p) in this new elemental projection plane is ##EQU6##

Here again the sorting must be carried out for all of the pixels in each of the original viewplane projections.

When these post-rendering methods which were just described are applied to objects which lack vertical parallax, the procedure is simplified. For example, if the original views are collected from positions on an arc centered on the origin (point 15 in FIG. 5), the original pixels are reassigned to elemental strips, like 14 in FIG. 4. By setting φ=0 in equation (3), the position of this elemental strip in the z=0 plane is determined to be, ##EQU7##

Similarly, by setting φ=0 in equation (4), the x position of the pixels in the elemental viewplane is, ##EQU8##

The y position results from a simple modification of the above equations. It can be shown to be, ##EQU9##

Similarly by eliminating vertical parallax and collecting views along a straight line which is parallel to the hologram plane, the element 14 to which the pixels are reassigned is determined by setting r=0 in equation (5).

    a=x.sub.p '+q                                              (10)

Also by setting r=0 in equation (6) ##EQU10##

The y position can be shown to be ##EQU11##

This geometry is unique because it is the only situation for which a pixel reassignment calculation is not required for every one of the original pixels.

This economy in the reassignment computation may be realized because each column of pixels (strip with constant x dimension) may be relocated intact to a pixel column in the new elemental viewplane. That is, pixels at different vertical levels (different values of y) in any column do not end up in different horizontal positions (different values of x) in the new elemental viewplanes. Also the relative y values are retained.

The simple system which maintains pixel column integrity in the reassignment process is similar to a method previously disclosed in a patent titled "System for Synthesizing Strip Multiplexed Holograms", U.S. Pat. No. 4,411,489, which issued in October 1983. That patent describes a method in which entire strips, which are several pixels wide, from conventionally collected views are transferred into a new viewplane for an image-plane hologram. In general the optimum and preferred process requires that each pixel in the original viewplanes be reassigned to a new pixel location, independently of adjacent or nearby pixels. The only situation for which this is not the case is that in which columns of the original views, each a single pixel in width, are reassigned to new column positions when the original views are collected (or computed) along a straight line path which is parallel to the plane of a flat, rainbow, composited hologram. Otherwise the process of transferring columns of original data intact into the new image-plane hologram viewplanes will lead to images having undesirable distortions and aberrations.

Configurations other than those presented in this disclosure may be used. For example, a more generalized analysis can be constructed for a so-called three point perspective projection in which the line-of-sight is not normal to the projection plane and viewplane, as it is in the foregoing. Also it should be noted, that with analytical modification, the methods described may be extended to handle hologram surfaces which are not flat; for example cylindrical holograms suitable for bottle labels.

Using systems like those shown in FIGS. 2 and 4 with the alternative, post-rendering method, should result in images which match the more direct methods previously discussed with reference to FIG. 1. One of the drawbacks of the post-rendering method however is that sufficiently large storage must be provided into which all of the original views are placed prior to initiation of primary-plane element construction.

It should be recognized that with the post-rendering techniques, other types of input data such as that obtained from cinema or video, may substitute for or embellish computer-generated imagery. For example video views of a real object can be digitized and processed in the same way as the viewplane data generated from a computer object.

Certain types of images common to holography, are particularly easy to handle with the procedures described herein. One of these images is the 2-D (two dimensional) image which lies on the hologram plane. Each projection plane 20 in FIG. 1 (or 21 in FIG. 3) is a uniform function containing no variations across the surface. Each pixel is identical to the others in every projection plane. Only the transmissivity of the transparencies 40 in FIG. 2 or FIG. 3, are different from each hologram element.

If the image is a single planar image which does not alter as one views it from different directions, but which is not on the hologram surface, then each projection plane view is a slightly different sample of this planar image. Adjacent views are identical except for a slight translation of area of the projection plane which is sampled. Furthermore, the required resolution at each image plane view is reduced as the distance from the planar image to the hologram declines. Images restricted to several such planes are similarly relatively easily handled.

A rule in optics states that rays which come to focus with resolution 6 in some primary plane (In a preferred embodiment of this patent, the primary plane is the hologram plane itself.), must approximately subtend an angle Ω where ##EQU12## λ is the wavelength of light used for the imaging. Furthermore this resolution of δ can be maintained over an image depth, z_(m), of no more than ##EQU13##

Object points located at greater distances that z_(m) from the primary plane are reconstructed with resolutions of ##EQU14##

Evidently increasing the resolution in the primary image plane results in a reduction in the resolution of other image points. From these observations, a method of determining the image resolution required of the computation may be established as follows. First, select a desired pixel resolution δ. Next, determine from equation (14) if the image depth over which this resolution can be maintained is adequate. If it is not, increase δ to an acceptable limit. Finally, compute new ray directions through the object points at angles separated by Ω determined from equation (13). Smaller increments are redundant and do not serve to increase the holographic image resolution.

For this analysis, the size of the element δ is a single resolvable pixel in width. In this case, and using the method of resolution determination described here, the resulting projection plane data comprise the Fourier Transform of the pattern within this pixel. This means that a computer-generated hologram (bit-by-bit computation of the hologram element itself) for each element may be easily computed from this projection plane data. An entire composite hologram may be built up in this manner, and does not require the large storage needed for a true CGH as described previously.

Equations (13) and (14) can be recognized as the resolution and depth of focus equations for a conventional camera lens system, where Ω is the F number (lens aperture over the focal length, or image plane distance). Images from composite holograms like those described in this disclosure are like those in photographs obtained with relatively small aperture lenses, except for the one important difference. The image has very good parallax and this is what gives it three dimensionality. This parallax permits an axial or z direction resolution, σ, given by ##EQU15## where β is the range of viewing angles. Composite holograms can match true classical holograms in their parallax capabilities. But classical holograms retain all the z dimensional information and this allows them to have infinite depth of focus since all image points are focused simultaneously. With a classical hologram, adjacent portions of the hologram and different views are not independent of each other. They are related by complex phase relationships as required from diffraction theory.

By incorporating phase relationships between pixels in adjacent projection planes in the composite process described in this disclosure, image resolution is improved, particularly for the image points most distant from the hologram plane. In the limit, as more phase information is recorded, the resulting hologram approaches that of a full computer generated hologram and contains image detail like a classical hologram.

The above description of methods and the construction used are merely illustrative thereof and various changes of the details and the method and construction may be made within the scope of the appended claims. 

What is claimed is:
 1. An article comprising:a substrate, a pattern recorded on said substrate for producing a three dimensional image having a predetermined resolution, wherein at least a portion of said substrate extends through said three dimensional image, and wherein said pattern comprises a plurality of contiguous, optically independent elements each of which contains data derived from several conventional views of an object scene, the maximum dimension of each of said elements is no larger than that of the smallest resolvable point in said image, and said data is only that which is necessary to produce the portion of said image corresponding the respective element having said resolution.
 2. An article according to claim 1 wherein said pattern is a holographic pattern.
 3. An article according to claim 1 wherein each of said elements comprises an image of a window comprising an array of pixels and said pixels represent said data.
 4. A method of constructing an article capable of producing a three dimensional image having a predetermined resolution comprising the steps of:defining an observation surface containing a series of observation points from which conventional views of an object scene are collected, representing each conventional view as a viewplane, each viewplane containing an array of viewplane pixels, defining a recording surface in the vicinity of the image, dividing the recording surface into a plurality of optically independent elemental areas, each being no larger than the smallest resolved data component of said image, defining for each elemental area a window containing an array of window pixels, selecting an intensity value for each window pixel, based on the intensity value of a respective viewplane pixel such that the resulting array of window pixels represents only the data necessary for generating the portion of said image corresponding to said elemental area having said resolution, and recording an image of the window pixels and their intensity values in each of their corresponding elemental areas, whereby an article is recorded on the recording surface from which a three dimensional image of the object scene may be observed.
 5. A method according to claim 4 said step of selecting an intensity value for each window pixel comprises the step of selecting intensity values for ray directions corresponding to object points no larger than said smallest resolved data component of the image.
 6. A method according to claim 5 further comprising the step of determining the depth of said three dimensional image, determining the desired size of the smallest resolved data component at the upper and lower extremes of said image, and performing said step of dividing the recording surface into a plurality of optically independent elemental areas to provide said desired size of the smallest resolved data component at the upper and lower extremes of said image.
 7. A method according to claim 4 wherein said step of recording comprises holographic recording. 